blackRelative Total Variation (RTV). Xu et al. [1]} propose to use RTV map to decouple structure and textures.
Such decoupling has been demonstrated useful to image inpainting [2]}, [3]}. We follow [2]} to use Gaussian kernel \(\sigma =3\)  and smooth degree \(\lambda =0.015\)  to extract structural features from \(256\times 256\)  images. Then, \(L_1\)  loss is taken to optimize RTV priors \(\mathbf {\tilde{P}}_{rtv}\) .
